niopeng / dciknn_cudaLinks
This is the CUDA GPU implementation + Python interface (using PyTorch) of DCI. The paper can be found at https://arxiv.org/abs/1512.00442.
☆13Updated last year
Alternatives and similar repositories for dciknn_cuda
Users that are interested in dciknn_cuda are comparing it to the libraries listed below
Sorting:
- Implementation of LogAvgExp for Pytorch☆36Updated 4 months ago
- Understanding the Difficulty of Training Transformers☆45Updated 2 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆36Updated 4 years ago
- ☆52Updated 4 years ago
- Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI☆94Updated 3 years ago
- Beyond Straight-Through☆102Updated 2 years ago
- ☆41Updated 2 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 2 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆90Updated 4 years ago
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆33Updated 2 years ago
- ☆32Updated 4 years ago
- simple bibtex generator for any text with \cite{}☆31Updated last year
- Differentiable Optimizers with Perturbations in Pytorch☆68Updated 4 years ago
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch☆76Updated 2 years ago
- ☆51Updated last year
- Efficient reservoir sampling implementation for PyTorch☆106Updated 3 years ago
- Differentiable Top-k Classification Learning☆85Updated 2 years ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆65Updated 2 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 2 years ago
- The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…☆64Updated 2 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆60Updated 2 years ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated 2 years ago
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆116Updated 2 years ago
- ☆47Updated 2 years ago
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated last year